首页> 外文期刊>Journal of Applied Meteorology and Climatology >Time Series Construction of Summer Surface Temperatures for Alabama, 1883-2014, and Comparisons with Tropospheric Temperature and Climate Model Simulations
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Time Series Construction of Summer Surface Temperatures for Alabama, 1883-2014, and Comparisons with Tropospheric Temperature and Climate Model Simulations

机译:1883-2014年阿拉巴马州夏季表面温度的时间序列构造,以及与对流层温度和气候模型模拟的比较

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Three time series of average summer [June-August (JJA)] daily maximum temperature (TMax) are developed for three interior regions of Alabama from stations with varying periods of record and unknown inhomogeneities. The time frame is 1883-2014. Inhomogeneities for each station's time series are determined from pairwise comparisons with no use of station metadata other than location. The time series for the three adjoining regions are constructed separately and are then combined as a whole assuming trends over 132 yr will have little spatial variation either intraregionally or interregionally for these spatial scales. Varying the parameters of the construction methodology creates 333 time series with a central trend value based on the largest group of stations of -0.07 degrees C decade(-1) with a best-guess estimate of measurement uncertainty from -0.12 degrees to -0.02 degrees C decade(-1). This best-guess result is insignificantly different (0.01 degrees C decade(-1)) from a similar regional calculation using NOAA's divisional dataset based on daily data from the Global Historical Climatology Network (nClimDiv) beginning in 1895. Summer TMax is a better proxy, when compared with daily minimum temperature and thus daily average temperature, for the deeper tropospheric temperature (where the enhanced greenhouse signal is maximized) as a result of afternoon convective mixing. Thus, TMax more closely represents a critical climate parameter: atmospheric heat content. Comparison between JJA TMax and deep tropospheric temperature anomalies indicates modest agreement (r(2) = 0.51) for interior Alabama while agreement for the conterminous United States as given by TMax from the nClimDiv dataset is much better (r(2) = 0.86). Seventy-seven CMIP5 climate model runs are examined for Alabama and indicate no skill at replicating long-term temperature and precipitation changes since 1895.
机译:在阿拉巴马州的三个内部区域,从记录周期不同和不均匀性未知的站点开发了三个平均夏季[6-8月(JJA)]日最高温度(TMax)的时间序列。时间范围是1883-2014。每个站的时间序列的不均匀性是通过成对比较确定的,除了位置之外,不使用任何站元数据。假设三个相邻区域的时间序列分别构建,然后合并为一个整体,并假设132年以上的趋势在这些空间尺度上的区域内或区域间空间变化很小。改变构造方法的参数,将基于-0.07摄氏度十进制(-1)的最大站点组创建333个具有中心趋势值的时间序列,并且最佳不确定性估计范围为-0.12到-0.02度C十年(-1)。最佳猜测结果与使用NOAA分区数据集(基于1895年以来的全球历史气候学网络(nClimDiv)的每日数据)基于相似区域计算的相似区域计算相差不大(0.01摄氏度(-1))。夏季TMax是更好的代理与每日最低温度(因此与每日平均温度)相比,是由于下午对流混合导致的更深对流层温度(温室信号增强最大的地方)。因此,TMax更紧密地代表了一个关键的气候参数:大气热量。 JJA TMax与对流层深层温度异常之间的比较表明,阿拉巴马州内陆地区的适度一致性(r(2)= 0.51),而nClimDiv数据集中TMax给出的美国本土一致性较好(r(2)= 0.86)。对阿拉巴马州的77个CMIP5气候模式运行进行了检查,结果表明自1895年以来,没有技术能够复制长期温度和降水变化。

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